Article Per Year (5 Year)
p-Index From 2019 - 2024
0.23
P-Index
This Author published in this journals
All Journal Jurnal SPEKTRUM
Ferry Angga Irawan
Unknown Affiliation
Computer Science & IT Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
RANCANG BANGUN APLIKASI IDENTIFIKASI PENYAKIT TANAMAN PEPAYA CALIFORNIA BERBASIS ANDROID MENGGUNAKAN METODE CNN MODEL ARSITEKTUR SQUEEZENET Ferry Angga Irawan; Made Sudarma; Duman Care Khrisne
Jurnal SPEKTRUM Vol 8 No 2 (2021): Jurnal SPEKTRUM
Publisher : Program Studi Teknik Elektro UNUD

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (621.093 KB) | DOI: 10.24843/SPEKTRUM.2021.v08.i02.p3

Abstract

The problem that often occurs in the Agricultural Experimental Garden of UdayanaUniversity, especially in the field of agricultural crops in holticulture is about plant diseases, thiscauses a decrease in production results, so the need for early diagnosis of diseases of plants.The study focused on California papaya plants. Diseases of this plant often appear on theleaves and fruits. With advances in technology in the field of image processing can helpproblems that occur in the field of agriculture. In this study build an Android application withCNN (Convolutional Neural Network) method using SqueezeNet architecture. Classifyingdiseases in this plant are Anthracnose, and Ringspot Viruse, as well as classifying healthypapaya. Based on the validation results, the application built using CNN method andSqueezeNet Architecture, can recognize Anthracnose disease, Ringspot Viruse and Papayahealthy through leaves with accuracy of 97% while through fruit accuracy reaches 70%.
Co-Authors Duman Care Khrisne Made Sudarma